[R] "Raw" histogram plots

[Andre Nathan]

I know about stem, but the data set has 1 million points, so it's not
very useful here. I want to avoid binning just to have an idea about the
shape of the distribution, before deciding how I'll bin it.

Andre

On Tue, 2008-02-26 at 16:20 -0600, roger koenker wrote:
> take a look at
> 
> 	?stem
> 
> There is still a place for handtools in the age of integrated
> circuits.  Of course, avoiding binning isn't really desirable.
> 
> url:    www.econ.uiuc.edu/~roger            Roger Koenker
> email    rkoenker at uiuc.edu            Department of Economics
> vox:     217-333-4558                University of Illinois
> fax:       217-244-6678                Champaign, IL 61820
> 
> 
> On Feb 26, 2008, at 4:10 PM, Andre Nathan wrote:
> 
> > Hello
> >
> > I need to plot a histogram, but insted of using bars, I'd like to plot
> > the data points. I've been doing it like this so far:
> >
> >  h <- hist(x, plot = F)
> >  plot(y = x$counts / sum(x$counts),
> >       x = x$breaks[2:length(x$breaks)],
> >       type = "p", log = "xy")
> >
> > Sometimes I want to have a look at the "raw" data (avoiding any kind  
> > of
> > binning). When x only contains integers, it's easy to just use bins of
> > size 1 when generating h with "breaks = seq(0, max(x))".
> >
> > Is there any way to do something similar when x consists of fractional
> > data? What I'm doing is setting a small bin length (for example,  
> > "breaks
> > = seq(0, 1, by = 1e-6)", but there's still a chance that points will  
> > be
> > grouped in a single bin.
> >
> > Is there a better way to do this kind of "raw histogram" plotting?
> >
> > Thanks,
> > Andre
> >
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